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Associate Machine Learning Jobs in Texas (NOW HIRING)

Blue Cross of Idaho

AI Technical Lead

Meridian, TX · On-site +1

Develop and deploy machine learning and generative AI solutions that support enterprise use cases ... Associate Degree in Computer Science, Electrical Engineering, Information Systems, or closely ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

... machine learning solutions. • Experience with Microsoft Azure technologies like Azure Machine ... Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • ...

Lantern

Data Scientist

Dallas, TX · On-site

Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

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How much do associate machine learning jobs pay per year?

As of Jun 8, 2026, the average yearly pay for associate machine learning in Texas is $115,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $160,500.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Associate Machine Learning jobs in Texas? For Associate Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Texas look for? The top searched job categories for Associate Machine Learning jobs in Texas are:
What cities in Texas are hiring for Associate Machine Learning jobs? Cities in Texas with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you
Senior Engineer, AI & ML (multiple positions)

Senior Engineer, AI & ML (multiple positions)

CarMax, Inc.

Plano, TX • On-site

$97K - $134K/yr

Full-time

Posted 11 days ago

CarMax rating

8.0

Company rating: 8.0 out of 10

Based on 365 frontline employees who took The Breakroom Quiz

26th of 713 rated retailers

Job description

8117 - Dallas Technology Hub - 5830 Granite Parkway, Plano, Texas, 75024
CarMax, the way your career should be!
Summary of Duties:
  • Responsible for providing reliable and scalable machine-learning capabilities across the organization.
  • Partner with Data Scientists to design and produce machine learning models. Processes include testing and monitoring applications and front-end experiences.
  • Convert machine learning models into mission-critical capabilities that drive customer experience.
  • Research and discover new opportunities to shape products, tools, and technologies to improve business performance.

Qualifications:
Master's degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Three (3) years of experience in the job offered or related occupation in which the required experience was gained. In lieu of a Master's degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Three (3) years of experience, the employer will also accept a Bachelor's degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Five (5) years of experience in the job offered or related occupation in which the required experience was gained. Must also have demonstrated experience with the following: Designing and Developing on distributed architectures (microservices or Kubernetes); End-to-end design and development of scalable services for monitoring and product support services; Python programming and coding; Building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies; DevOps practices, testing frameworks, and CI/CD pipelines; Object-oriented programing language (C# or Java); Machine-learning and AIaaS; MLOps and industry-standard machine-learning Python libraries; Model Development and Deployment (MLFlow, Azure ML, or Sage Maker); and Data Science Libraries and Algorithms (TensorFlow, Scikit, or PyTorch).
About CarMax
CarMax disrupted the auto industry by delivering the honest, transparent, and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide.
Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.
CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
Sponsorship Note:
Candidates must be legally authorized to work for any U.S. employer on a full-time basis. Sponsorship will be considered for this specific role.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

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